乐胖代购免代理版

{"id":"https://openalex.org/W1971090729","doi":"https://doi.org/10.1109/icacci.2014.6968472","title":"Devanagari text extraction from natural scene images","display_name":"Devanagari text extraction from natural scene images","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W1971090729","doi":"https://doi.org/10.1109/icacci.2014.6968472","mag":"1971090729"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2014.6968472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077397456","display_name":"Hrishav Raj","orcid":null},"institutions":[{"id":"https://openalex.org/I11793825","display_name":"National Institute of Technology Patna","ror":"https://ror.org/056wyhh33","country_code":"IN","type":"education","lineage":["https://openalex.org/I11793825","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hrishav Raj","raw_affiliation_strings":["Computer Science and Engineering Department, NIT Patna, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, NIT Patna, India","institution_ids":["https://openalex.org/I11793825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040009406","display_name":"Rajib Ghosh","orcid":"https://orcid.org/0000-0002-8553-8656"},"institutions":[{"id":"https://openalex.org/I11793825","display_name":"National Institute of Technology Patna","ror":"https://ror.org/056wyhh33","country_code":"IN","type":"education","lineage":["https://openalex.org/I11793825","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajib Ghosh","raw_affiliation_strings":["Computer Science and Engineering Department, NIT Patna, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, NIT Patna, India","institution_ids":["https://openalex.org/I11793825"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.551,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":19,"citation_normalized_percentile":{"value":0.886671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":91},"biblio":{"volume":null,"issue":null,"first_page":"513","last_page":"517"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9994,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9994,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.999,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9953,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/devanagari","display_name":"Devanagari","score":0.959002},{"id":"https://openalex.org/keywords/geocoding","display_name":"Geocoding","score":0.54426706},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.51261395}],"concepts":[{"id":"https://openalex.org/C2780144916","wikidata":"https://www.wikidata.org/wiki/Q38592","display_name":"Devanagari","level":4,"score":0.959002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8105669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.77230465},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.7509959},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5690018},{"id":"https://openalex.org/C42629822","wikidata":"https://www.wikidata.org/wiki/Q1346408","display_name":"Geocoding","level":2,"score":0.54426706},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.51261395},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47311804},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47276977},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4600167},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.42878643},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41076645},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41007507},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3626696},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.12279242},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.10849321},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08284247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07653692},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2014.6968472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.68,"display_name":"Quality education","id":"https://metadata.un.org/sdg/4"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":11,"referenced_works":["https://openalex.org/W2004663190","https://openalex.org/W2005964041","https://openalex.org/W2009854331","https://openalex.org/W2024959534","https://openalex.org/W2109378288","https://openalex.org/W2117586922","https://openalex.org/W2131673214","https://openalex.org/W2165401735","https://openalex.org/W2539788135","https://openalex.org/W2555860637","https://openalex.org/W4234755959"],"related_works":["https://openalex.org/W4360905860","https://openalex.org/W4200043248","https://openalex.org/W2819040622","https://openalex.org/W2462573505","https://openalex.org/W2426618597","https://openalex.org/W2316254460","https://openalex.org/W2244980784","https://openalex.org/W2167945225","https://openalex.org/W2144432858","https://openalex.org/W2127548266"],"abstract_inverted_index":{"In":[0],"scenic":[1,122,153,180],"images,":[2],"information":[3],"in":[4,34,56,64,86],"the":[5,31,47,60,65,71,101,112,147,150,158,161],"form":[6],"of":[7,54,59,70,106,129,141,152,160,178],"text":[8,80,120,173],"provides":[9],"vital":[10],"clues":[11],"for":[12,78],"most":[13],"applications":[14],"based":[15,24],"on":[16,171],"image":[17,25],"processing.":[18],"These":[19],"include":[20],"assisted":[21],"navigation":[22],"content":[23],"retrieval,":[26],"automatic":[27],"geocoding":[28],"and":[29,62],"understanding":[30],"scene.":[32],"But":[33],"a":[35,42,75,92,176],"multicolored":[36],"complex":[37],"background,":[38],"it":[39],"is":[40,51,109,115,132],"quite":[41],"daunting":[43,52],"task":[44,50],"to":[45,99,110,117,134,145],"locate":[46],"text.":[48,72,103],"This":[49,114],"because":[53],"non-uniformity":[55],"illumination,":[57],"complexity":[58],"backdrop,":[61],"differences":[63],"size":[66],"font":[67],"&":[68],"line-orientation":[69],"We":[73,89],"propose":[74],"novel":[76],"approach":[77,164],"Devanagari":[79,119,172],"extraction":[81],"from":[82,121],"natural":[83],"scene":[84],"images":[85,123,154],"this":[87,135],"paper.":[88],"can":[90],"use":[91,140],"text-to-speech":[93],"engine":[94],"or":[95],"Optical":[96],"Character":[97],"Reader":[98],"recognize":[100],"extracted":[102],"The":[104,127,167],"basis":[105],"our":[107],"scheme":[108,138],"analyze":[111],"CCs.":[113],"done":[116],"extract":[118,146],"captured":[124],"by":[125],"camera.":[126],"presence":[128],"head":[130],"line":[131],"unique":[133],"script.":[136],"Our":[137],"makes":[139],"mathematical":[142],"morphological":[143],"operations":[144],"headlines.":[148],"Also":[149],"binarization":[151],"was":[155,165,169],"studied.":[156],"Here":[157],"effectiveness":[159],"adaptive":[162],"thresholding":[163],"observed.":[166],"algorithm":[168],"tested":[170],"contained":[174],"within":[175],"collection":[177],"100":[179],"images.":[181]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1971090729","counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-03-15T15:35:36.683112","created_date":"2016-06-24"}